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Biology Machine Learning Intern Jobs in Maine (NOW HIRING)

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Biology Machine Learning Intern information

What does a biology machine learning intern do?

A Biology Machine Learning Intern works at the intersection of biology and computer science, applying machine learning techniques to analyze biological data. Their tasks often include processing large datasets, building predictive models, and supporting research projects that use artificial intelligence to solve biological problems. Interns may work on projects like drug discovery, genomics, or protein structure prediction, and typically collaborate with scientists and engineers. This role helps bridge the gap between experimental biology and data-driven insights.

What kinds of projects does a biology machine learning intern typically work on, and how do these projects contribute to the team?

Biology Machine Learning Interns often work on interdisciplinary projects that apply machine learning techniques to analyze biological data, such as genomics, protein structures, or cellular imaging. These projects may involve developing predictive models, automating data processing pipelines, or extracting meaningful patterns from large, complex datasets. Interns usually collaborate closely with both biologists and data scientists, gaining hands-on experience and contributing valuable insights that support ongoing research or product development. This collaborative environment not only enhances technical skills but also provides exposure to real-world applications of AI in life sciences.

What are the key skills and qualifications needed to thrive as a biology machine learning intern, and why are they important?

To thrive as a Biology Machine Learning Intern, you need a foundational understanding of biology, statistics, and programming (usually Python or R), often supported by coursework or a degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), bioinformatics tools, and data analysis platforms is typically expected. Strong problem-solving abilities, attention to detail, and teamwork skills help interns excel in interdisciplinary research environments. These skills and qualities are crucial for effectively analyzing biological data, developing models, and contributing to innovative scientific solutions.

What are popular job titles related to Biology Machine Learning Intern jobs in Maine?

For Biology Machine Learning Intern jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Biology Machine Learning Intern jobs in Maine look for?

The top searched job categories for Biology Machine Learning Intern jobs in Maine are:

What cities in Maine are hiring for Biology Machine Learning Intern jobs?

Cities in Maine with the most Biology Machine Learning Intern job openings:

Infographic showing various Biology Machine Learning Intern job openings in Maine as of June 2026, with employment types broken down into 5% Internship, 2% As Needed, 57% Full Time, 32% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Computational Neuroscience Intern | Joy Lab

The Jackson Laboratory

Bar Harbor, ME • On-site

$14.50 - $30.51/hr

Internship

Re-posted 7 days ago


The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 120 rated laboratories


Job description

Computational Neuroscience Intern- Joy Lab
The Jackson Laboratory (JAX) is seeking a motivated Computational Neuroscience Intern to join the Joy Lab for a summer internship. The Joy Lab studies mechanisms of neural repair after stroke using large-scale neural recordings, ethological measurements of behavior, optogenetics, and transcriptomics. The successful candidate will work with datasets collected from neurophysiological recordings and animal behavior experiments. Primary responsibilities will include developing and implementing statistical and machine learning models for data analysis, data mining, data curation, and storage in research repositories.
This internship offers significant opportunities for professional growth, including the chance to develop novel methods and evaluate existing approaches in computational neuroscience. The intern will work closely with members of the Joy Lab, learn about relevant biological questions and scientific literature, apply analytical models to complex datasets, and contribute to scientific publications.
Candidates are expected to have an undergraduate degree. A master's degree or experience in one or more areas such as neuroscience, machine learning, computational biology, statistics, data science, or a related field, is desirable. Remote work may be possible; however, the candidate is expected to communicate regularly and effectively with lab members.
Applications should include a CV and a cover letter describing the candidate's interest in the position.
Pay Range: $14.5 - $30.51
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

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